Aliakbar Akbari

45 total papers · 578 total citations
27 papers, 320 citations indexed

About

Aliakbar Akbari is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering and Artificial Intelligence. According to data from OpenAlex, Aliakbar Akbari has authored 27 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Vision and Pattern Recognition, 11 papers in Control and Systems Engineering and 9 papers in Artificial Intelligence. Recurrent topics in Aliakbar Akbari's work include Robotic Path Planning Algorithms (14 papers), AI-based Problem Solving and Planning (8 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari is often cited by papers focused on Robotic Path Planning Algorithms (14 papers), AI-based Problem Solving and Planning (8 papers) and Robot Manipulation and Learning (7 papers). Aliakbar Akbari collaborates with scholars based in Spain, Iran and United Kingdom. Aliakbar Akbari's co-authors include Jan Rosell, Fabien Lagriffoul, Sener Uysal, Majid Hashemipour, Alexander Pérez, Sara Bernardini, Masoud Goharimanesh, Neil T. Dantam, Caelan Reed Garrett and Lydia E. Kavraki and has published in prestigious journals such as Sensors, Applied Sciences and Robotics and Autonomous Systems.

In The Last Decade

Aliakbar Akbari

25 papers receiving 299 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Aliakbar Akbari 158 144 119 43 42 27 320
Shih‐An Li 124 0.8× 120 0.8× 91 0.8× 53 1.2× 20 0.5× 30 302
Mahmut Di̇ri̇k 154 1.0× 84 0.6× 53 0.4× 63 1.5× 33 0.8× 30 281
Xiaowei Tu 144 0.9× 103 0.7× 37 0.3× 80 1.9× 42 1.0× 50 294
Zhehao Jin 103 0.7× 184 1.3× 44 0.4× 30 0.7× 44 1.0× 30 324
Huanbing Gao 104 0.7× 64 0.4× 53 0.4× 24 0.6× 41 1.0× 21 340
Yingyi Sun 125 0.8× 87 0.6× 65 0.5× 48 1.1× 16 0.4× 18 294
Bashra Kadhim Oleiwi 137 0.9× 107 0.7× 47 0.4× 38 0.9× 22 0.5× 41 320
Mikko Lauri 177 1.1× 103 0.7× 77 0.6× 136 3.2× 24 0.6× 21 345
Shiqi Li 161 1.0× 56 0.4× 126 1.1× 23 0.5× 21 0.5× 40 364
Ouarda Hachour 250 1.6× 125 0.9× 72 0.6× 104 2.4× 32 0.8× 14 306

Countries citing papers authored by Aliakbar Akbari

Since Specialization
Citations

This map shows the geographic impact of Aliakbar Akbari's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Aliakbar Akbari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aliakbar Akbari more than expected).

Fields of papers citing papers by Aliakbar Akbari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aliakbar Akbari. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Aliakbar Akbari. The network helps show where Aliakbar Akbari may publish in the future.

Co-authorship network of co-authors of Aliakbar Akbari

This figure shows the co-authorship network connecting the top 25 collaborators of Aliakbar Akbari. A scholar is included among the top collaborators of Aliakbar Akbari based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Aliakbar Akbari. Aliakbar Akbari is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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